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🚀Release!🚀 RoBERTa models pre-trained on millions of tweets. Also fine-tuned models for tweet classification for the #emnlp2020 Findings paper 🎉TweetEval🎉. Models and starter code now online in 🤗@huggingface | huggingface.co/cardiffnlp/twi… #NLProc

Check out the accepted papers from the Cardiff NLP group and collaborators at upcoming #NLProc and #ML conferences! We'll be presenting several papers at #NAACL2025 (main conference, demos, and workshops), #ICLR2025, and #CVPR2025. Preprints are available for the following papers 👇:

The dates for our 4th Cardiff NLP Workshop have been announced! ✍🏼

A few pics showcasing some of the work presented by Cardiff NLP members at #coling2025! 🖼️

Highlights from #WikiWorkshop at #EMNLP2024: Presented our work on Hoax articles (aclanthology.org/2024.wikinlp-1…) and participated in a panel on misinformation with @vlachos_nlp and @IAugenstein . Thanking the organizers and @frimelle for the incredible experience! 1/2

Stereotypes, social biases and topic classification. Three papers from Cardiff NLP presented simultaneously at the same poster session yesterday at #EMNLP2024! 🖼️

The First Workshop on Advancing Natural Language Processing for Wikipedia will happen tomorrow, 16th of November, in conjunction with @emnlpmeeting ! Website: meta.wikimedia.org/wiki/NLP_for_W… Proceedings: aclanthology.org/events/wikinlp…

Cardiff NLP in Miami! #EMNLP2024 🌴

Really pleased to say this has been accepted at #EMNLP2024 main

"WiDe-analysis: Enabling One-click Content Moderation Analysis on Wikipedia’s Articles for Deletion" (Borkakoty and Espinosa-Anke) arxiv.org/pdf/2408.05655

Cardiff NLP in Bangkok! #acl2024nlp

PolygloToxicityPrompts, our multilingual toxicity evaluation benchmark, has been accepted to @COLM_conf and ranked in the top 1% of all submissions! 🥳 Awesome collaboration w/ @kpriyanshu256, @nlpxuhui, @samgehman, @tom_hartvigsen, @MaartenSap; across @UVA @SCSatCMU @allen_ai.

🚨 NEW PAPER ALERT 🚨 Introducing the GlobalBias dataset… We ask Claude 3, GPT 3.5, GPT 4o, and Llama 3 to produce character profiles based on given names from GlobalBias for 40 different gender-by-ethnicity groups. We find that all models displayed stereotypical outputs (1/4)

Link to GitHub: github.com/groovychoons/G… Link to paper: arxiv.org/abs/2407.06917 If you’d like to discuss anything related to the paper, drop me a DM or comment below. * we refers to myself, @LiamDTurner and @espinosaanke (4/4)

And the 3rd Cardiff NLP Workshop has come to an end... 😢 Hopefully see you all next year, including those who couldn't make it this year! 👋

Day 2 starts in a few hours, let's go! #cardiffnlpworkshop

ART-AI PhD students at the Cardiff NLP Workshop. Amazing event hosted by one of the biggest NLP labs in the UK @Cardiff_NLP 🙌🏴󠁧󠁢󠁷󠁬󠁳󠁿

Thanks to @CamachoCollados & other organizers for the invitation to speak at @Cardiff_NLP! It's a really vibrant NLP group (over 30 people!) that grew in just 4 years. Prospective students, do add it to your list of labs to watch for positions! x.com/Cardiff_NLP/st…

#coling2025 and #acl2025nlp will have an important representation of Cardiff NLP! @StevenSchockae2 and @tpilehvar will be Program Chairs of COLING-2025 and ACL-2025, respectively. @coling2025 @aclmeeting

ACL notification last week, LREC-COLING this week, NAACL happening next month... it's NLP conference season! 🥳 Check out the list of papers accepted by our team members for these conferences, with some presentations already this week at #LRECCOLING2024! #naacl2024 #acl2024nlp

𝐑𝐀𝐆𝐀𝐒 - 𝐑𝐀𝐆 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 Ragas is a python based evaluation framework for your Retrieval Augmented Generation (RAG) pipelines. RAG denotes a class of LLM applications that use external data to augment the LLM’s context. There are existing tools and frameworks that help you build these pipelines but evaluating it and quantifying your pipeline performance can be hard. Ragas provides you with the tools based on the latest research for evaluating LLM-generated text to give you insights about your RAG pipeline. Ragas can be integrated with your CI/CD to provide continuous checks to ensure performance. Ragas framework - github.com/explodinggradi… #rag #evaluation #generativeai #llms #nlproc #deeplearning